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Graph ML News (Aug 25th)

The autumn edition of the Molecular ML Conference (MoML) going to take place on Nov 8th at MIT. MoML is a premier venue for bringing together graph learning and life sciences crowd including computation biology, drug discovery, computational chemistry, molecular simulation, and many more. Submit a poster until Oct 13th!

Not an official announcement, but there are rumors that the Stanford Graph Learning Seminar will return on Oct 11th as well 😉 

Expect a flurry of ICLR submissions in the next weeks before the deadline, but meanwhile the weekend reading is:

UGSL: A Unified Framework for Benchmarking Graph Structure Learning by Google Research feat. Bahare Fatemi, Anton Tsitsulin and Bryan Perozzi

Simulate Time-integrated Coarse-grained Molecular Dynamics with Multi-scale Graph Networks feat. Xiang Fu, Tommi Jaakkola

Approximately Equivariant Graph Networks by Teresa Huang, Ron Levie, and Soledad Villar

Will More Expressive Graph Neural Networks do Better on Generative Tasks? (spoiler alert: nopes) feat. Pietro Liò

The Expressive Power of Graph Neural Networks: A Survey
MoML Conference MoML | MIT Jameel Clinic Molecular Machine Learning Conference | MIT Jameel Clinic The conference brings together students, experts and leaders across areas with the goal of advancing how machine learning methods can address key scientific goals related to molecular modeling, molecular…
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